Crossword Solver

Crossword solving, a complex task requiring natural language understanding, reasoning, and world knowledge, is a burgeoning area of research in artificial intelligence. Current efforts focus on leveraging large language models (LLMs) and algorithms like Monte Carlo Tree Search (MCTS) to improve both clue-solving accuracy and the ability to complete entire crossword grids, often incorporating techniques like iterative revision and constraint satisfaction. These advancements are narrowing the performance gap between AI solvers and human experts, with implications for both advancing NLP techniques and creating more sophisticated educational tools.